Cover Image

Lion Secretly Solves Constrained Optimization: As Lyapunov Predicts

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Lizhang, Liu, Bo, Liang, Kaizhao, Liu, Qiang
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence Optimization and Control Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Communication Efficient Distributed Training with Distributed Lion
by: Liu, Bo, et al.
Published: (2024)

Uncertainty-Aware Delivery Delay Duration Prediction via Multi-Task Deep Learning
by: Faulkner, Stefan, et al.
Published: (2026)

Muon Optimizes Under Spectral Norm Constraints
by: Chen, Lizhang, et al.
Published: (2025)

Memory-Efficient LLM Training with Online Subspace Descent
by: Liang, Kaizhao, et al.
Published: (2024)

Cautious Optimizers: Improving Training with One Line of Code
by: Liang, Kaizhao, et al.
Published: (2024)

Towards Improving Unit Commitment Economics: An Add-On Tailor for Renewable Energy and Reserve Predictions
by: Chen, Xianbang, et al.
Published: (2022)

Cautious Weight Decay
by: Chen, Lizhang, et al.
Published: (2025)

Integrated Offline and Online Learning to Solve a Large Class of Scheduling Problems
by: Liu, Anbang, et al.
Published: (2025)

Solving Functional Optimization with Deep Networks and Variational Principles
by: Kamtue, Kawisorn, et al.
Published: (2024)

Sampling from Gaussian Processes: A Tutorial and Applications in Global Sensitivity Analysis and Optimization
by: Do, Bach, et al.
Published: (2025)

Multi-objective Bayesian Optimization With Mixed-categorical Design Variables for Expensive-to-evaluate Aeronautical Applications
by: Bartoli, Nathalie, et al.
Published: (2025)

HoP: Homeomorphic Polar Learning for Hard Constrained Optimization
by: Deng, Ke, et al.
Published: (2025)

Double Momentum Method for Lower-Level Constrained Bilevel Optimization
by: Shi, Wanli, et al.
Published: (2024)

BAGEL: Projection-Free Algorithm for Adversarially Constrained Online Convex Optimization
by: Lu, Yiyang, et al.
Published: (2025)

Adaptively Robust LLM Inference Optimization under Prediction Uncertainty
by: Chen, Zixi, et al.
Published: (2025)

Solving Truly Massive Budgeted Monotonic POMDPs with Oracle-Guided Meta-Reinforcement Learning
by: Vora, Manav, et al.
Published: (2024)

Solving Integrated Process Planning and Scheduling Problem via Graph Neural Network Based Deep Reinforcement Learning
by: Li, Hongpei, et al.
Published: (2024)

Deep Reinforcement Learning for Solving the Fleet Size and Mix Vehicle Routing Problem
by: Wan, Pengfu, et al.
Published: (2025)

Optimizer-Model Consistency: Full Finetuning with the Same Optimizer as Pretraining Forgets Less
by: Liu, Yuxing, et al.
Published: (2026)

Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime
by: Geng, Haoyu, et al.
Published: (2023)

Lyapunov Function Consistent Adaptive Network Signal Control with Back Pressure and Reinforcement Learning
by: Ma, Chaolun, et al.
Published: (2022)

Predictive and Prescriptive AI toward Optimizing Wildfire Suppression
by: Boussioux, Leonard, et al.
Published: (2026)

Budget-aware Auto Optimizer Configurator
by: Liu, Kang, et al.
Published: (2026)

Unit Commitment Predictor With a Performance Guarantee: A Support Vector Machine Classifier
by: Pourahmadi, Farzaneh, et al.
Published: (2023)

Dynamic Estimation of Learning Rates Using a Non-Linear Autoregressive Model
by: Okhrati, Ramin
Published: (2024)

Buffered AUC maximization for scoring systems via mixed-integer optimization
by: Shiina, Moe, et al.
Published: (2026)

DGSAM: Domain Generalization via Individual Sharpness-Aware Minimization
by: Song, Youngjun, et al.
Published: (2025)

Deconfounded Warm-Start Thompson Sampling with Applications to Precision Medicine
by: Jaiswal, Prateek, et al.
Published: (2025)

Exposing the Illusion of Fairness: Auditing Vulnerabilities to Distributional Manipulation Attacks
by: Lafargue, Valentin, et al.
Published: (2025)

Constructing Industrial-Scale Optimization Modeling Benchmark
by: Li, Zhong, et al.
Published: (2026)

EquivaMap: Leveraging LLMs for Automatic Equivalence Checking of Optimization Formulations
by: Zhai, Haotian, et al.
Published: (2025)

From Optimization to Prediction: Transformer-Based Path-Flow Estimation to the Traffic Assignment Problem
by: Ameli, Mostafa, et al.
Published: (2025)

CLCR: Contrastive Learning-based Constraint Reordering for Efficient MILP Solving
by: Zeng, Shuli, et al.
Published: (2025)

Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation
by: Yang, Lujie, et al.
Published: (2024)

Power Constrained Nonstationary Bandits with Habituation and Recovery Dynamics
by: Li, Fengxu, et al.
Published: (2025)

Stochastic Optimization of Inventory at Large-scale Supply Chains
by: Jin, Zhaoyang Larry, et al.
Published: (2025)

Constrained Sliced Wasserstein Embedding
by: NaderiAlizadeh, Navid, et al.
Published: (2025)

$ϕ$-Balancing for Mixture-of-Experts Training
by: Chen, Lizhang, et al.
Published: (2026)

Data-driven Projection Generation for Efficiently Solving Heterogeneous Quadratic Programming Problems
by: Iwata, Tomoharu, et al.
Published: (2025)

Zeroth-Order Optimization Finds Flat Minima
by: Zhang, Liang, et al.
Published: (2025)